General growth mixture modeling (GGMM) was briefly reviewed and its merits for the researchers who aim to conduct a longitudinal study discussed. The GGMM refers to modeling with categorical latent variables that represent subpopulations where population membership is not known but is inferred from the data (Muthén & Muthén, 2004). Latent class growth analysis (LCGA) and growth mixture modeling (G